DarthAffe/stable-diffusion.cpp
1
0 Fork 0
mirror of https://github.com/leejet/stable-diffusion.cpp.git synced 2026-11-11 19:36:33 +00:00
Code Issues Packages Projects Releases Wiki Activity

chore: format code

Browse Source
This commit is contained in:
leejet committed 2026-10-24 01:23:42 +08:00
1 parent 40b1788476
commit e0ed724e28
69 files changed
+711 -441
Download Patch File Download Diff File Expand all files Collapse all files

No files matched your search

src/model/vae/ltx_audio_vae.hpp
+3 -3
View File
@@ -1087,9 +1087,9 @@ namespace LTXV {
auto& tensor_storage_map = model_loader.get_tensor_storage_map();
auto ltx_audio_vae = std::make_shared<LTXAudioVAERunner>(backend,
tensor_storage_map,
prefix,
model_manager);
tensor_storage_map,
prefix,
model_manager);
if (!model_manager->set_loader(std::move(model_loader)) ||
!model_manager->register_runner_params(ModelComponent::AudioVAE,
src/model/vae/ltx_vae.hpp
+11 -11
View File
@@ -497,12 +497,12 @@ namespace LTXVAE {
GGML_ASSERT(out_channels % factor == 0);
blocks["conv"] = std::make_shared<CausalConv3d>(in_channels,
out_channels / factor,
3,
std::tuple<int, int, int>{1, 1, 1},
1,
true,
force_conv_prec_f32);
out_channels / factor,
3,
std::tuple<int, int, int>{1, 1, 1},
1,
true,
force_conv_prec_f32);
blocks["skip_downsample"] = std::make_shared<WAN::AvgDown3D>(in_channels, out_channels, factor_t, factor_s);
blocks["conv_downsample"] = std::make_shared<WAN::AvgDown3D>(out_channels / factor, out_channels, factor_t, factor_s);
}
@@ -1077,11 +1077,11 @@ namespace LTXVAE {
patch_size);
}
blocks["decoder"] = std::make_shared<Decoder>(version,
tensor_storage_map,
prefix,
patch_size,
false,
timestep_conditioning);
tensor_storage_map,
prefix,
patch_size,
false,
timestep_conditioning);
blocks["per_channel_statistics"] = std::make_shared<PerChannelStatistics>();
}
src/model/vae/minimax_h3_audio_vae.hpp
+10 -10
View File
@@ -76,10 +76,10 @@ namespace MiniMaxH3 {
blocks["block.2"] = std::make_shared<AudioEncoderResidualUnit>(in_channels, 9);
blocks["block.3"] = std::make_shared<AudioSnake1D>(in_channels);
blocks["block.4"] = std::make_shared<LTXV::Conv1D>(in_channels,
out_channels,
2 * stride,
stride,
static_cast<int>(std::ceil(stride / 2.f)));
out_channels,
2 * stride,
stride,
static_cast<int>(std::ceil(stride / 2.f)));
}
ggml_tensor* forward(GGMLRunnerContext* ctx, ggml_tensor* x) {
@@ -300,12 +300,12 @@ namespace MiniMaxH3 {
}
blocks["activation_post"] = std::make_shared<LTXV::Activation1D>(channels);
blocks["conv_post"] = std::make_shared<LTXV::Conv1D>(channels,
1,
7,
1,
3,
1,
false);
1,
7,
1,
3,
1,
false);
}
ggml_tensor* forward(GGMLRunnerContext* ctx, ggml_tensor* x) {
src/model/vae/minimax_h3_vae.hpp
+2 -2
View File
@@ -449,8 +449,8 @@ namespace MiniMaxH3VAE {
MiniMaxH3VideoVAE() {
blocks["encoder"] = std::make_shared<Encoder>();
blocks["quant_conv"] = std::make_shared<Conv3d>(48,
48,
std::tuple{1, 1, 1});
48,
std::tuple{1, 1, 1});
blocks["post_quant_conv"] = std::make_shared<Conv3d>(24,
24,
std::tuple{1, 1, 1});